Abstract—Fluidized bed spray granulation is used to produce coarse granular solid particles by spraying liquids in the form of fine droplets on a fluidized particle followed by drying in a stream of fluidizing air. The quality and thickness of granulation or coating on the particle should be uniform. In this work, experimental data obtained during the study of influence of process parameters i,e., drying conditions, impact velocities and physical properties of sprayed solutions on the kinetics of granulation and on the morphology of the end product, is modeled. In this theoretical modeling,, an attempt is made, for a single particle to relate collision and adhesion of sprayed droplets with particle growth for 16% aqueous solution of lactose using correlation modeling and artificial neural network techniques. The present paper reports and compares the results obtained by the two types of modeling. The results are useful in understanding the growth in spray-coating process.
Index Terms—Modeling, Fluidization, Granulation, Artificial neural network
Department of Chemical Engineering, CLRI (CSIR), Adyar, Chennai –600 020, India. 2Thermal Process Engineering, University of Karlsruhe (TH),Germany.
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Cite: Rames C. Panda and H. Martin, "Modeling the Coating of Lactose on a Single Particle through Fluidized Bed Spray Granulation Process," International Journal of Chemical Engineering and Applications vol. 2, no. 1, pp. 5-7, 2011.
